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Data · AI · Technology. Turning Data into Direction.

Learn data by solving real problems

Pick the tool or language you want. Every lesson starts from a problem people face at work, not from a list of features. Short episodes, taught by an architect who has built these for global businesses for over a decade.

  • 6 episodes ready today
  • Real use cases
  • 7 learning paths

Move across the field, click to send a wave

What you will be able to do

Real problems you will solve

These are everyday jobs in any business. Each one is a lesson, and each uses the tools shown.

Yesterday's numbers, on your phone by eight

A daily page the whole team opens before the first meeting, refreshed without anyone exporting anything.

Two systems disagree. Find out why in minutes.

Match the till against the bank, or bookings against invoices, and list exactly which lines do not agree.

Forty spreadsheets become one table

Every branch sends a file in its own layout. A short script reads them all and stacks them cleanly, every month.

Ask your data a question in plain words

Type "which products lost margin this quarter?" and get an answer you can check against the source.

A nightly pipeline that tells you when it breaks

Data lands, gets cleaned and is ready by morning. If a step fails, you hear about it before the report does.

Each manager sees only their own numbers

One report for the whole company, with every region, store or department limited to its own slice.

An assistant that answers from your own documents

Policies, contracts and manuals become something staff can question in plain words, with the source shown.

An agent that prepares the weekly report

It gathers the figures, checks them against last week, drafts the commentary and waits for your approval.

A data and AI plan the board will fund

One page that says where the business is, what to build first and how the value will be measured.

Your choice

Choose what you want to learn

Pick a tool or a language. Each is taught through the problems it solves at work.

Drag to turn it. Tap a point to choose.

Beginner, ready today

Data and BI from zero

Understand what business intelligence is, and read any report with confidence.

People use it to

  • Read any dashboard and spot what it is not telling you
  • Brief an analyst so you get the right report the first time
  • Sketch a page your team will open every morning
SELECTtotalFROMsales

Beginner, next course

SQL for beginners

Ask a database your own questions instead of waiting for an export.

People use it to

  • Find the customers who have not ordered in ninety days
  • Check yesterday's sales in two systems and list what differs
  • Build a month-end total from raw transactions, and prove it

Intermediate, on the roadmap

Power BI, from first report to a model people trust

Build a report that answers a real question, on a model that gives the same number every time.

People use it to

  • A daily sales page the whole team opens before nine
  • Budget against actual by department, with the detail one click away
  • One report where each manager sees only their own stores

Beginner, on the roadmap

Python for analysts

Replace the manual parts of your week with scripts you understand.

People use it to

  • Stack forty Excel files into one clean table in seconds
  • Get an email the moment a number crosses a limit
  • Clean the same messy export automatically, every day

Intermediate, on the roadmap

Microsoft Fabric, the working parts

Know what each part of Fabric is for, and move one dataset through all of them.

People use it to

  • One place where sales, finance and operations data meet
  • Reports that stay current without overnight copy jobs
  • Move a dataset from raw file to finished report, end to end

Intermediate, on the roadmap

AWS for data teams

Find your way around the handful of AWS services a data team actually uses.

People use it to

  • Land files from any system safely in one place
  • Run a pipeline every night and hear about it if it fails
  • Query years of history without managing a server

Intermediate, on the roadmap

Azure for data apps

Run a data app on Azure without guessing at identity, secrets or cost.

People use it to

  • Let an app read data with no password in the code
  • Host a small internal data tool securely
  • Know what the cloud bill will be before it arrives
BronzeSilverGold

Advanced, on the roadmap

Fabric architecture, designing the platform

Lay out a Fabric estate that stays understandable as it grows.

People use it to

  • Decide who sees what before the first report is built
  • Release changes without breaking what people rely on
  • A platform three teams can share without collisions

Intermediate, on the roadmap

AI for data and business teams

Put AI to work on real business questions, and know when not to trust the answer.

People use it to

  • Ask a question in plain words and get a number you can check
  • Turn a fifty-page pack into a paragraph you can trust
  • Draft the monthly commentary from the figures themselves
Thedatashowsgrowthgrowtha dropnothingrisk

Intermediate, on the roadmap

Large language models, explained for builders and leaders

Understand how language models work well enough to choose one, ground it and judge its answers.

People use it to

  • Explain to a board what a language model can and cannot do
  • Build an assistant that answers from your own documents
  • Compare models on your own questions before paying for one
PlanActCheck

Advanced, on the roadmap

Agentic AI, from assistant to colleague

Design AI agents that plan, use tools and finish real tasks, with people in control.

People use it to

  • An agent that gathers the numbers and drafts the weekly report
  • Sort incoming requests and route each one to the right team
  • Decide exactly where a person must approve before an agent acts

Advanced, on the roadmap

Leading with data and AI

Set direction for a data and AI team: what to build, how to govern it and how to prove its value.

People use it to

  • Write a one-page data and AI strategy the board will fund
  • Decide what to build, what to buy and what to stop
  • Set up a team where every number has an owner

How it fits together

One stack, from raw data to a trusted answer

This is the whole map. Every course on the roadmap teaches one layer of it, from the bottom up.

Drag to turn it. Point at a layer to light it up.

  1. 4

    Answers

    Ask a question in plain words and trust what comes back.

  2. 3

    Model and report

    One definition of every number, on a page people open every morning.

  3. 2

    Platform

    Where the data lands, gets cleaned and is kept in one copy.

  4. 1

    Cloud and code

    The services and scripts that move data without anyone doing it by hand.

Learning paths

Not sure where to start? Follow a path

Each path is a roadmap: courses in the right order for one goal. The filled step is ready today.

See all 7 paths

Beginner path

Start from zero

New to data, comfortable in a spreadsheet.

  1. BI basics
  2. Power BI

You finish able to: Read a database, build a first report and explain what it shows.

3 courses, 1 ready today

Intermediate path

Analyst to BI developer

Analysts who build reports and want to own the model behind them.

  1. Power BI
  2. Python
  3. Fabric

You finish able to: A governed Power BI model, fed by scripts instead of by hand.

4 courses, on the roadmap

Intermediate path

Data platform builder

People who will run the pipes behind the reports.

  1. Python
  2. AWS
  3. Azure
  4. Fabric

You finish able to: Land, clean and serve data on a cloud platform.

5 courses, on the roadmap

Every second Thursday

The Helmcraft Letter

One idea on data, AI and leading with numbers. Four minutes, one idea, no filler.

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Being written

  • What an assistant must know before it answers
  • Close on day five, not day fifteen
  • The cost of a number nobody questions
  • Teaching a team to read a variance

Who writes this

Taught from the work, not the manual

Portrait of Shri

I am Shri. For over a decade I have designed data platforms and analytics for global businesses in retail, manufacturing, healthcare, consumer goods and hospitality. Today I lead data analytics and AI for an international group. This is where I teach what that work has taught me, in order.

  • Microsoft Fabric
  • Power BI
  • Azure
  • AWS
  • Databricks
  • Snowflake
  • SQL
  • Python
  • Applied AI

Read my full profile

Based in
Dubai
Experience
Since 2014, seven industries
Publishes
Every second Thursday